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Büro Führungskräfte zu Internationalen Organisationen

Junior Professional Officer (JPO)/Beigeordnete Sachverständige (BS)

Beigeordnete Sachverständige (BS) sind international bekannt als Junior Professional Officers (JPOs), Associate Experts (AEs) oder Associate Professional Officers (APOs). Die Bundesregierung hat mit etwa 20 Internationalen Organisationen Abkommen zur Förderung von deutschen Nachwuchskräften als Beigeordnete Sachverständige geschlossen. Die Federführung des Programms liegt beim Bundesministerium für wirtschaftliche Zusammenarbeit und Entwicklung (BMZ); das Büro Führungskräfte zu Internationalen Organisationen (BFIO) ist verantwortlich für die Durchführung des Programms. Angesprochen sind Bewerber/innen mit deutscher Staatsangehörigkeit und mit erster Berufserfahrung nach abgeschlossenem Hochschulstudium.

Da es sich um ein Nachwuchsförderprogramm handelt, sollten Bewerberinnen und Bewerber im Regelfall zwischen zwei bis vier Jahren Berufserfahrung haben. Bitte beachten Sie, dass bei einigen Internationalen Organisationen eine Altersgrenze existiert, hier ist die jeweilige Stellenausschreibung maßgebend (entscheidend für die Altersgrenze ist der Zeitpunkt der Aufnahme der Tätigkeit).


Wichtige Informationen zur Bewerbung (Bewerbungsvoraussetzungen, Bewerbungsformular, Details zur Stellenbeschreibung etc.) finden Sie auf unserer Website unter www.bfio.de, Stichwort: JPO/BS-Programm.

Bewerbungsschluss ist Freitag, der 22.Februar 2019, 24.00 Uhr MEZ

 

Kurzprofil der Stelle

 
WMO - JPO, World Weather Research Programme, Geneva


Junior Professional Officer (JPO), World Weather Research Programme, Geneva
Sector/Unit: Extreme Weather and Research-to-Operation, World Weather Research Programme
Duration: 2 years with the possibility of extension for another year
Please note that for participants of the JPO-Programme two years work experience are mandatory!
 

Main duties and responsibilities:

Support the coordination of research activities in the context of the Global Data Processing and Forecasting System (GDFPS), and specifically on the following areas:

  • a) Promoting pilot projects in the context of seamless prediction from minutes-to-hours, including exploring the potential of machine learning applications.
  • b) Assist in implementing the consolidation phase of GDPFS, linking between research and operational aspects favouring the integration between global and regional centres.
  • c) Support the communication between the World Weather Research Programme (WWRP) core projects (Polar Prediction Project, High-Impact Weather Project, Sub-seasonal to Seasonal Prediction Project) and their international offices in order to support the implementation of the research component of GDPFS and its link to operations.

Assist in developing research initiatives on seamless prediction of extreme weather events from minutes to months, coordinating with two WWRP research core projects (Sub-Seasonal to Seasonal project, co-sponsored with the World Climate Research Programme (WCRP), and High-Impact Weather project) and other WMO programmes. The main focus will be on:

  • a) Improving knowledge and prediction of extreme weather with high impacts, i.e. heat waves, disruptive winds, intense precipitation periods;
  • b) Linking predictive capabilities with impact information systems in key sectors, such as health, agriculture, energy;

Following the guidelines established by the WWRP Scientific Steering Committee and in coordination with the WWRP projects (Sub-seasonal to Seasonal Prediction, High Impact Weather, Polar Prediction), provide support to the implementation of additional WWRP outreach and capacity development strategies, which include representing WWRP core project activities in social media, developing plans/proposals for information dissemination.  

Profile of qualification:

Education:

  • Master’s degree in from a recognized university or technical institute in meteorology or other environmental sciences, physics or engineering, preferably with some exposure to or interest in earth science.


Experience:

  • A minimum of 2 years of professional experience in one or more of the following areas: Weather or, climate analysis and modelling, communication of science, big-data or machine learning applied to environmental problems. A Ph.D. or equivalent experience in research activities related to weather prediction or climate analysis would be an advantage. 

 
Key Competencies:

  • Excellent knowledge of English.
  • Knowledge of other official languages of the WMO Secretariat (French) would be an advantage.
  • Ability to work efficiently in a multicultural environment
  • Interest in societal, technical and policy-related issues pertaining to weather and climate observations
  • Good communication skills.